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ODPi publishes its first runtime specification

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March 29, 2016

ODPi, the initial group formerly known as the Open Data Platform initiative was set up in 2015 as an attempt to standardize Hadoop applications, and today has published its first runtime specification.

Backed by Horton Works but temporary placed in the corner by heavyweights MapR and Cloudera, ODPi was set up to try and make sure that applications would work across multiple Apache Hadoop distributions.

But instead of collapsing, the new group quietly worked on a runtime specification accompanied by a test suite.

The runtime spec at Github doesn't preclude applications from calling private interfaces, but the authors do note that customization breaks the test once, run everywhere model.

The current specification requires the Apache Hadoop 2.7 branch as a base spec. The “minimum native build” specifications set out requirements for Kerberos, Java and OS requirements, and the GZip and Snappy codec compression libraries as well.

Apache Big Top is used for packaging, testing and configuration, and there are “guidelines on how to incorporate additional, non-breaking features, which are allowed provided source code is made available through relevant Apache community processes.”

The ODPi initiative is a shared industry effort focused on promoting and advancing the state of Apache, Hadoop and Big Data technologies for the enterprise segment of the industry.

Source: The ODPi Group.

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